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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: batch_size_2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# batch_size_2 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8600 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 13.2945 | 1.69 | 200 | 3.6357 | |
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| 3.737 | 3.38 | 400 | 3.6624 | |
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| 3.707 | 5.06 | 600 | 3.6271 | |
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| 3.6038 | 6.75 | 800 | 3.5749 | |
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| 3.4502 | 8.44 | 1000 | 3.2693 | |
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| 3.1641 | 10.13 | 1200 | 2.9155 | |
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| 2.6047 | 11.81 | 1400 | 2.3544 | |
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| 2.0028 | 13.5 | 1600 | 2.0022 | |
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| 1.5415 | 15.19 | 1800 | 1.8024 | |
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| 1.1696 | 16.88 | 2000 | 1.7754 | |
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| 0.8809 | 18.57 | 2200 | 1.6793 | |
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| 0.7591 | 20.25 | 2400 | 1.8127 | |
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| 0.6056 | 21.94 | 2600 | 1.7993 | |
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| 0.5091 | 23.63 | 2800 | 1.7812 | |
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| 0.4569 | 25.32 | 3000 | 1.7781 | |
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| 0.4167 | 27.0 | 3200 | 1.8802 | |
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| 0.3432 | 28.69 | 3400 | 1.8600 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.2 |
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